Anthropic launches Claude Tag: AI agent becomes a full-fledged team member in Slack
The corporate AI solutions market continues to evolve rapidly. Anthropic has introduced Claude Tag — an innovative tool that transforms a neural network into an active participant in Slack workspaces. This is not just another chatbot, but a full-fledged agent capable of autonomously performing complex, multi-step tasks.
The operating principle is maximally intuitive: simply mention the model via @Claude in any channel, and the neural network independently breaks down the assignment into stages, connecting necessary databases, program code, and third-party applications. All actions are performed in the background, without distracting the team from current processes.
Key Capabilities of Claude Tag
The tool stands out with four important features. First, multi-user mode: each channel participant sees Claude's actions and can continue a dialogue started by a colleague. Second, context accumulation — the neural network remembers discussion details and does not require repeated explanations. Third, proactivity: when background mode is enabled, the AI independently reports important updates or reminds about unresolved tasks. And finally, autonomy — the model is capable of planning and executing long-term projects over several days.
Within Anthropic itself, Claude Tag is already demonstrating impressive results: 65% of program code is created with its help. Beyond development, the tool is actively used for analyzing metrics and processing support tickets. Administrators can flexibly configure the neural network's access to confidential data and set limits on token usage.
Currently, the service is available in beta testing mode for users of Claude Enterprise and Team plans. Claude Tag is based on the Opus 4.8 model, which replaces the standard Claude application for Slack.
Expert opinion: The launch of Claude Tag is a significant step in the evolution of corporate AI agents. Unlike simple assistants that merely respond to queries, this tool becomes a full-fledged participant in work processes. The ability to accumulate context and autonomously execute long-term tasks appears especially valuable — these are the functions that transform a neural network from a tool into a colleague. However, the key question remains security: how effectively will administrators be able to control AI access to sensitive data in real corporate environments.